finance-hedgefundmonitor

Query OFR Hedge Fund Monitor API for aggregated hedge fund statistics.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill finance-hedgefundmonitor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finance-hedgefundmonitor
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/finance-hedgefundmonitor
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill finance-hedgefundmonitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides direct access to the U.S. Office of Financial Research (OFR) Hedge Fund Monitor API, enabling users to query critical data on hedge fund activity, systemic risk, and financial stability without needing API keys or registration.

Core Features & Use Cases

  • Comprehensive Data Access: Retrieve aggregated statistics on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management.
  • Multiple Datasets: Access data from SEC Form PF, CFTC Traders in Financial Futures, FRB SCOOS, and FICC Sponsored Repo volumes.
  • Use Case: A financial analyst can use this Skill to quickly fetch historical leverage ratios for all qualifying hedge funds to assess systemic risk trends.

Quick Start

Use the finance-hedgefundmonitor skill to fetch the time series data for the hedge fund leverage ratio starting from 2015.

Frequently Asked Questions about finance-hedgefundmonitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I access OFR hedge fund data without an API key?

You can access OFR hedge fund data without an API key by querying the OFR Hedge Fund Monitor API directly. This approach retrieves aggregated statistics on hedge fund size, leverage, and systemic risk without requiring any registration.

What hedge fund systemic risk metrics are available from SEC Form PF?

SEC Form PF metrics include aggregated time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. This data helps assess financial stability and track systemic risk trends across qualifying hedge funds.

Can I retrieve historical hedge fund leverage ratios starting from 2015?

Yes, you can retrieve historical hedge fund leverage ratios starting from 2015. The Skill queries the OFR Hedge Fund Monitor API to fetch time series data, allowing financial analysts to track leverage and systemic risk trends over time.

Does the OFR Hedge Fund Monitor API include CFTC and FICC Sponsored Repo data?

Yes, the OFR Hedge Fund Monitor API includes CFTC Traders in Financial Futures data and FICC Sponsored Repo volumes. It also covers FRB SCOOS dealer financing terms, providing a comprehensive view of hedge fund counterparty and financing activity.

How do I use pandas to analyze hedge fund time series data from the OFR?

You can use pandas to structure and analyze the hedge fund time series data fetched via the requests library. The Skill returns aggregated OFR statistics suitable for pandas DataFrames, enabling analysis of leverage, liquidity, and risk management metrics.

What datasets are available for assessing hedge fund counterparty and liquidity risk?

Available datasets include SEC Form PF statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. These datasets provide aggregated metrics on hedge fund counterparties, liquidity, complexity, and risk management.